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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 2813
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    Explanations

    close mentions of specific time periods, like "year" or "day"

    oai_token-act-pair · gpt-3.5-turbo

    references to time, specifically mentioning years, days, and the concept of time passing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ollow
    -0.65
    pires
    -0.64
    orney
    -0.63
    iterator
    -0.62
    ettle
    -0.62
    wright
    -0.61
    Nit
    -0.60
    aware
    -0.60
    tap
    -0.59
    ociate
    -0.59
    POSITIVE LOGITS
     mornings
    0.88
     afternoon
    0.84
     morning
    0.84
     evening
    0.81
     night
    0.77
    days
    0.76
    abouts
    0.76
     semester
    0.69
     nights
    0.68
    berries
    0.67
    Activations Density 0.208%

    No Known Activations